Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.9 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TETERIOUK Andrei | 72 |
| 4 | JALABERT Laurent | 66 |
| 5 | BRUYNEEL Johan | 71 |
| 6 | VERSTREPEN Johan | 66 |
| 11 | FIGNON Laurent | 67 |
| 12 | BOURGUIGNON Thierry | 72 |
| 15 | LIPTÁK Miroslav | 68 |
| 20 | MEJIA Alvaro | 63 |